docstr: Predict the images. This method should called in stream_mode.
  
  images: the image list used for prediction.
  
  Example:
  tracker = hub.Module('fairmot_dla34')
  with tracker.stream_mode(output_dir='image_stream_output', visualization=True, draw_threshold=0.5, use_gpu=True):
      tracker.predict([images])
docstr_tok: ["Predict","the","images",".","This","method","should","called","in","stream_mode",".","images",":","the","image","list","used","for","prediction",".","Example",":","tracker","=","hub.Module","(","'fairmot_dla34","'",")","with","tracker.stream_mode","(","output_dir='image_stream_output","'",",","visualization=True",",","draw_threshold=0.5",",","use_gpu=True",")",":","tracker.predict","(","[","images","]",")"]
code: def predict(self, images: list = []):
      """
      Predict the images. This method should called in stream_mode.
  
      images: the image list used for prediction.
  
      Example:
      tracker = hub.Module('fairmot_dla34')
      with tracker.stream_mode(output_dir='image_stream_output', visualization=True, draw_threshold=0.5, use_gpu=True):
          tracker.predict([images])
      """
      length = len(images)
      if length == 0:
          print("No images provided.")
          return
      for image in images:
          self.tracker.dataset.add_image(image)
          try:
              results = next(self.tracker_generator)
          except StopIteration as e:
              return
  
      return results[-length:]
  
imports: import argparse
  import glob
  import os
  import signal
  import sys
  import cv2
  import paddle
  from ppdet.core.workspace import load_config
  from ppdet.core.workspace import merge_config
  from ppdet.engine import Tracker
  from ppdet.utils.check import check_config
  from ppdet.utils.check import check_gpu
  from ppdet.utils.check import check_version
  from ppdet.utils.logger import setup_logger
  import paddlehub
  from .tracker import StreamTracker
  from paddlehub.module.module import moduleinfo
  from paddlehub.module.module import runnable
  from paddlehub.module.module import serving
label_desc: Use image node_id 6 for calling the JDETracker_1088x608 obj's underlying member method code with example usage: obj.predict(images) and returns: results